Identifying Spam Emails
Kyryl Sidak
Python
11 Chapters
0 Studying now
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
Teknologi
Python
Språk
En
Betyg
Kapitel
11
Kursens beskrivning
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
